# Senior Data Scientist, Product Intelligence

**Company:** [Fal](https://hotfix.jobs/companies/fal)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $190k – $230k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, dbt, Dagster, Airflow, Data Modeling, Experimentation, Data Pipelines, Data Governance, Data Quality
**Posted:** 2026-04-30

> Senior Data Scientist architects metrics and measurement systems for user success, owns data standards and experimentation frameworks, and delivers insights to influence product roadmap and GTM strategy. Requires 5+ years experience, advanced SQL/Python, dbt, and orchestration tools.

## Job Description

## What you’ll do

- Architect the metrics that define user success on fal and build the measurement systems to track activation, retention, and time-to-value across both our self-serve and B2B pipelines.
- Develop a deep, causal understanding of how customers discover, adopt, and grow on the platform to identify key expansion levers and acquisition opportunities.
- Own the instrumentation standards and data contracts that serve as the source of truth for product telemetry and core behavioral schemas.
- Surface insights through rigorous deep-dives and experimentation to influence product direction, pricing models, and go-to-market initiatives.
- Develop scalable data products including automated experimentation frameworks and canonical schemas that enable teams to self-serve and move faster.

## What we are looking for

- 5+ years of experience in data science or analytics roles-ideally with API products, developer tools, or B2B SaaS platforms
- Advanced-level SQL and proficiency in Python for analytics, modeling, and experimentation
- Strong proficiency with dbt and orchestration tools like Dagster or Airflow for production pipeline
- Proven ability to work across teams to influence product roadmap and strategy
- Experience establishing data quality and governance practices, including lineage, testing, and documentation.
- Demonstrated bias for action and the ability to thrive in fast-moving, ambiguous environments.
- A track record of shipping data products or features, not just dashboards. You think like a Product Manager and build like an Engineer

## Nice-to-haves

- Experience working on developer-facing products or platforms.
- Exposure to infrastructure, performance, or cost-related data (e.g., cloud usage, compute efficiency).
- Experience operating in early-stage or fast-scaling environments.
- Interest or experience in architecting data systems designed for agentic consumption and AI-driven product workflow

## Compensation

$190,000 - $230,000 + equity + comprehensive benefits package

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**Canonical:** https://hotfix.jobs/jobs/b390fc22-f23a-491d-b20b-d8f2010a6e8e